This shiny app allows users to tune, fit, and evaluate the performance of various machine learning (ML) models using a default or custom (uploaded) dataset. It can be viewed in full-screen at this link. Code for the app can be found here.
This shiny app displays simulated data and fitted classical and robust control charts for VAR(1) data, illustrating the effects of contamination during Phase I on control chart performance. It can be viewed in full-screen at this link.
This shiny app visually demonstrates the effects of binomial and Poisson parameters on the normal approximation. It can be viewed in full-screen at this link.